日本航空宇宙学会論文集
Online ISSN : 2432-3691
Print ISSN : 1344-6460
技術ノート
Particle Filterを用いたパラメータ推定による宇宙機異常検知
後藤 耕平河原 吉伸矢入 健久町田 和雄
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ジャーナル フリー

2007 年 55 巻 642 号 p. 355-358

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This paper proposes a method of early spacecraft anomaly detection by simultaneously estimating its states and parameters. We applied an extended particle filter algorithm in order to estimate not only states but also parameters. In this method, we incorporated artificial evolution of parameters and kernel smoothing of parameters into the ordinary particle filter algorithm. Each parameter is related to each state of the spacecraft components, so we can understand what is happening in the spacecraft by finding out parameters’ changing signs. We tested the algorithm on a simulation of spacecraft attitude motion.

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© 2007 The Japan Society for Aeronautical and Space Sciences
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